o9 Solutions, Inc. Case Studies Transforming Integrated Business Planning with IoT for a Global Food and Beverage Company

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	Transforming Integrated Business Planning with IoT for a Global Food and Beverage Company o9 Solutions, Inc.

Transforming Integrated Business Planning with IoT for a Global Food and Beverage Company

o9 Solutions, Inc.

Technology Category	Application Infrastructure & Middleware - Data Visualization Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Food & Beverage Transportation
Applicable Functions	Logistics & Transportation
Use Cases	Demand Planning & Forecasting Supply Chain Visibility
Challenge	The company, one of the largest food and beverage companies in the world, was facing significant challenges with its integrated business planning processes. These processes were highly manual and focused on past data, which hindered the company's ability to quickly identify demand risks and opportunities. This resulted in a lack of responsiveness to market changes and an inability to provide optimal solutions. The company was also unable to detect gaps in planning and other risks and opportunities quickly enough due to their focus on sell-in, a lagging indicator. Furthermore, all commercial and supply chain scenarios were run in Excel, based on inaccurate datasets and incomplete information, leading to suboptimal decision-making. Lastly, IBP meetings were run in PowerPoint and Excel, focused on numbers and assumptions rather than on key market decisions. Read More
About Customer	The customer is one of the largest food and beverage companies in the world, boasting over 2,000 brands that range from globally recognized icons to local favorites. The company's integrated business planning processes were previously highly manual and focused on past data, which resulted in a lack of responsiveness to market changes and an inability to provide optimal solutions. The company was also unable to quickly detect gaps in planning and other risks and opportunities due to their focus on sell-in, a lagging indicator. Read More
Solution	The company partnered with o9 to address these challenges. o9's highly differentiated platform allowed the company to understand the drivers of demand and bring those together for faster gap detection and response. The platform also enabled cross-functional teams to generate commercial scenarios and get a supply chain response on OTIF, cost to serve and contribution margin in real-time. During IBP meetings, market leaders were able to use the platform to evaluate scenarios, understand risks and opportunities, and make better and faster decisions. The o9 Enterprise Knowledge Graph was used to build market, demand, and supply-knowledge models, allowing the company to run the entire IBP process for all categories, brands, channels, accounts, and countries in a single integrated platform. This solution replaced the company's previous systems, including SAP APO, PowerPoint, and Excel. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Data Visualization

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Food & Beverage

Transportation

Applicable Functions

Logistics & Transportation

Use Cases

Demand Planning & Forecasting

Supply Chain Visibility

Challenge

The company, one of the largest food and beverage companies in the world, was facing significant challenges with its integrated business planning processes. These processes were highly manual and focused on past data, which hindered the company's ability to quickly identify demand risks and opportunities. This resulted in a lack of responsiveness to market changes and an inability to provide optimal solutions. The company was also unable to detect gaps in planning and other risks and opportunities quickly enough due to their focus on sell-in, a lagging indicator. Furthermore, all commercial and supply chain scenarios were run in Excel, based on inaccurate datasets and incomplete information, leading to suboptimal decision-making. Lastly, IBP meetings were run in PowerPoint and Excel, focused on numbers and assumptions rather than on key market decisions.

About Customer

The customer is one of the largest food and beverage companies in the world, boasting over 2,000 brands that range from globally recognized icons to local favorites. The company's integrated business planning processes were previously highly manual and focused on past data, which resulted in a lack of responsiveness to market changes and an inability to provide optimal solutions. The company was also unable to quickly detect gaps in planning and other risks and opportunities due to their focus on sell-in, a lagging indicator.

Solution

The company partnered with o9 to address these challenges. o9's highly differentiated platform allowed the company to understand the drivers of demand and bring those together for faster gap detection and response. The platform also enabled cross-functional teams to generate commercial scenarios and get a supply chain response on OTIF, cost to serve and contribution margin in real-time. During IBP meetings, market leaders were able to use the platform to evaluate scenarios, understand risks and opportunities, and make better and faster decisions. The o9 Enterprise Knowledge Graph was used to build market, demand, and supply-knowledge models, allowing the company to run the entire IBP process for all categories, brands, channels, accounts, and countries in a single integrated platform. This solution replaced the company's previous systems, including SAP APO, PowerPoint, and Excel.

Impact #1	The implementation of o9's platform brought about significant operational improvements for the company. The platform's ability to understand the drivers of demand and bring those together for faster gap detection and response allowed the company to be more responsive to market changes. The ability to generate commercial scenarios and get a supply chain response in real-time led to more informed decision-making. The use of the o9 Enterprise Knowledge Graph to build market, demand, and supply-knowledge models enabled the company to run the entire IBP process in a single integrated platform, replacing the need for multiple systems. This resulted in a more streamlined and efficient planning process. Additionally, the platform's use during IBP meetings allowed for a focus on key market decisions rather than just numbers and assumptions, leading to better and faster decision-making.

Impact #1

The implementation of o9's platform brought about significant operational improvements for the company. The platform's ability to understand the drivers of demand and bring those together for faster gap detection and response allowed the company to be more responsive to market changes. The ability to generate commercial scenarios and get a supply chain response in real-time led to more informed decision-making. The use of the o9 Enterprise Knowledge Graph to build market, demand, and supply-knowledge models enabled the company to run the entire IBP process in a single integrated platform, replacing the need for multiple systems. This resulted in a more streamlined and efficient planning process. Additionally, the platform's use during IBP meetings allowed for a focus on key market decisions rather than just numbers and assumptions, leading to better and faster decision-making.

Benefit #1	Improved commercial spend by selecting commercial initiatives with highest ROI
Benefit #2	Faster response to market opportunities resulting in improvement of top-line
Benefit #3	Reduction of non-standard supply chain cost (flex, expedites, alternative sourcing) through better planning

Benefit #1

Improved commercial spend by selecting commercial initiatives with highest ROI

Benefit #2

Faster response to market opportunities resulting in improvement of top-line

Benefit #3

Reduction of non-standard supply chain cost (flex, expedites, alternative sourcing) through better planning

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Overview

Transforming Integrated Business Planning with IoT for a Global Food and Beverage Company

Operational Impact

Quantitative Benefit